{"id":"W2529645554","doi":"","title":"Decision support system for collaborative freight transportation management: a tool for mixing traditional and green logistics","year":2016,"lang":"en","type":"article","venue":"PORTO Publications Open Repository TOrino (Politecnico di Torino)","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Decision support system; Traffic management; Context (archaeology); Pooling; City logistics; Key (lock); Order (exchange); Sustainable transport; Transport engineering; Sustainable development; Computer science; Business; Sustainability; Operations research; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003009313,0.001067956,0.0007969521,0.002155635,0.0006427838,0.003306875,0.001483677,0.001429837,0.009829703],"category_scores_gemma":[0.006210347,0.0003330656,0.0006517274,0.001295128,0.000381732,0.001964454,0.001493875,0.001230326,0.002803244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005317096,"about_ca_system_score_gemma":0.0008480654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0011915,"about_ca_topic_score_gemma":0.0006126904,"domain_scores_codex":[0.9984316,0.0005416006,0.0002387949,0.0002725997,0.0004253736,0.00009003017],"domain_scores_gemma":[0.9965603,0.002178366,0.0001926591,0.0003464495,0.0004686098,0.0002535217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001547489,0.001474674,0.004329555,0.0009727008,0.0003258276,0.001876824,0.001797756,0.0607451,0.03018525,0.03318876,0.02802522,0.8355308],"study_design_scores_gemma":[0.000686412,0.0006073496,0.004033479,0.0004860613,0.000277082,0.0008442658,0.0007183603,0.8180304,0.0364993,0.03744735,0.1001538,0.0002161783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03797441,0.000309624,0.9183832,0.0009735042,0.0002114856,0.000662255,0.001686254,0.02924205,0.0105573],"genre_scores_gemma":[0.3308091,0.000306644,0.6599784,0.0003062817,0.000102938,0.0006903808,0.00200388,0.000433495,0.005368955],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009829703,"threshold_uncertainty_score":0.03288364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04309337405615928,"score_gpt":0.2435060551397626,"score_spread":0.2004126810836034,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}